面向移动计算的GPU架构优化

A. Aldahlawi, Yang-Bin Kim, Kyung Ki Kim
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引用次数: 1

摘要

图形处理单元(gpu)总是因其高功耗而受到批评,因为它可以提供大量的性能。当gpu进入移动市场时,更多的功率限制已经确立。在这项工作中,我们评估了GPU缓存阵列的功率门控技术。在使用45nm标准CMOS工艺的1.0V电源下,有源模式下的泄漏功率测量为2.28µW,而休眠模式下的泄漏功率测量为0.61µW(占有源模式泄漏的26.7%)和关闭模式下的0.034µW(占有源模式泄漏的1.5%)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GPU Architecture Optimization For Mobile Computing
Graphical Processing Units (GPUs) are always criticized for high power consumption due to its massive performance that it can deliver. While GPUs are getting into the mobile market, more power constraints are established. In this work, we evaluate the power gating techniques for GPU cache arrays. The leakage power in active mode is measured at 2.28 µW whereas is sleep mode leakage power is measured at 0.61 µW (26.7% of active mode leakage) and 0.034 µW at off mode (1.5% of active mode leakage) at 1.0V power supply using 45nm standard CMOS process.
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